Spoken language understanding from unaligned data using discriminative classification models

作者: F. Mairesse , M. Gasic , F. Jurcicek , S. Keizer , B. Thomson

DOI: 10.1109/ICASSP.2009.4960692

关键词: Natural languageGrammar inductionParsingNatural language processingDiscriminative modelSemantic analysis (machine learning)Spoken languageSemantic computingMachine learningComputational linguisticsArtificial intelligenceRule-based machine translationComputer science

摘要: … classifiers can be trained using unaligned data, and how they are … data-driven method for semantic parsing that can learn from unaligned semantic trees, thus allowing for faster data …

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